Module: tfp.experimental.timeseries
Stay organized with collections
Save and categorize content based on your preferences.
Experimental methods and objectives for variational inference.
Functions
horizoned_mase(...): Return the mean absolute scaled error over all the horizons.
horizoned_msis(...): Return the mean scaled interval score over all horizons.
horizoned_smape(...): Return the symmetric mean absolute percentage error over all horizons.
mase(...): Return the mean absolute scaled error.
msis(...): Return the mean scaled interval score.
smape(...): Return the symmetric mean absolute percentage error.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-11-05 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-11-05 UTC."],[],[]]
View source on GitHub